Does Telehealth Monitoring Identify Exacerbations of Chronic Obstructive Pulmonary Disease and Reduce Hospitalisations? An Analysis of System Data

The Value of Remote Vital Signs Monitoring in Detecting Clinical Deterioration in Patients in Hospital at Home Programs or Postacute Medical Patients in the Community: Systematic Review

BACKGROUND

Vital signs monitoring (VSM) is used in clinical acuity scoring systems (APACHE [Acute Physiology and Chronic Health Evaluation], NEWS2 [National Early Warning Score 2], and SOFA [Sequential Organ Failure Assessment]) to predict patient outcomes for early intervention. Current technological advances enable convenient remote VSM. While the role of VSM for ill, hospital ward-treated patients is clear, its role in the community for acutely ill patients in the hospital at home (HAH) or postacute setting (patients who have just been discharged from an acute hospital stay and at increased risk of deterioration) is less well defined.

OBJECTIVE

We assessed the efficacy of remote VSM for patients in the HAH or postacute setting.

METHODS

This systematic review adhered to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. We searched studies in PubMed (MEDLINE), Embase, and Scopus. Studies focused on the postacute phase were included, as only 2 case series addressed the HAH setting. Risk of bias (ROB) was evaluated using the Cochrane Risk of Bias Tool for randomized controlled trials (RCTs), the Newcastle-Ottawa scale for observational studies, and the case methods outlined by Murad et al for case reports. The GRADE (Grading Recommendations Assessment, Development, and Evaluation) framework was used to assess the certainty of evidence. Outcomes of interest included hospital readmissions, mortality, patient satisfaction, and compliance. Risk ratios (RR) were used to measure effect sizes for readmission and mortality, with patient satisfaction and compliance reported descriptively.

RESULTS

The search yielded 5851 records, with 28 studies meeting eligibility criteria (8 RCTs, 7 cohort studies, and 13 case series). Two focused on HAH, while 26 studies addressed the postacute phase. Nineteen studies looked at heart failure, 3 studied respiratory conditions, and 6 studies studied other conditions. Meta-analysis was conducted with 6 studies looking at hospital readmission within 60 days and 4 studies at mortality within 30 days. Readmissions did not significantly decrease (RR 0.81, 95% CI 0.61-1.09; P=.16). Significant heterogeneity was observed for readmissions (I2=58%). Conversely, mortality reduced significantly (RR 0.65, 95% CI 0.42-0.99; P=.04). There was no significant heterogeneity in mortality (I2=0%). There was high heterogeneity in the study populations, interventions, and outcomes measured. Many studies were of poor quality, with 50% (4/8) of RCTs exhibiting a high ROB. The certainty of evidence for both readmission and mortality was very low.

CONCLUSIONS

Published data on the effects of remote VSM in acutely ill patients at home remains scarce. Future studies evaluating all common vital signs (heart rate, blood pressure, oxygen saturation, and temperature) with consistent monitoring frequencies and clear intervention protocols to better understand how to integrate remote VSM into HAH programs are needed.

TRIAL REGISTRATION

PROSPERO CRD42023388827; https://www.crd.york.ac.uk/PROSPERO/view/CRD42023388827.

The State of the Art of eHealth Self-Management Interventions for People With Chronic Obstructive Pulmonary Disease: Scoping Review

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is a common chronic incurable disease. Treatment of COPD often focuses on symptom management and progression prevention using pharmacological and nonpharmacological therapies (eg, medication, inhaler use, and smoking cessation). Self-management is an important aspect of managing COPD. Self-management interventions are increasingly delivered through eHealth, which may help people with COPD engage in self-management. However, little is known about the actual content of these eHealth interventions.

OBJECTIVE

This literature review aimed to investigate the state-of-the-art eHealth self-management technologies for COPD. More specifically, we aimed to investigate the functionality, modality, technology readiness level, underlying theories of the technology, the positive health dimensions addressed, the target population characteristics (ie, the intended population, the included population, and the actual population), the self-management processes, and behavior change techniques.

METHODS

A scoping review was performed to answer the proposed research questions. The databases PubMed, Scopus, PsycINFO (via EBSCO), and Wiley were searched for relevant articles. We identified articles published between January 1, 2012, and June 1, 2022, that described eHealth self-management interventions for COPD. Identified articles were screened for eligibility using the web-based software Rayyan.ai. Eligible articles were identified, assessed, and categorized by the reviewers, either directly or through a combination of methods, using Atlas.ti version 9.1.7.0. Thereafter, data were charted accordingly and presented with the purpose of giving an overview of currently available literature while highlighting existing gaps.

RESULTS

A total of 101 eligible articles were included. This review found that most eHealth technologies (91/101, 90.1%) enable patients to self-monitor their symptoms using (smart) measuring devices (39/91, 43%), smartphones (27/91, 30%), or tablets (25/91, 27%). The self-management process of "taking ownership of health needs" (94/101, 93.1%), the behavior change technique of "feedback and monitoring" (88/101, 87%), and the positive health dimension of "bodily functioning" (101/101, 100%) were most often addressed. The inclusion criteria of studies and the actual populations reached show that a subset of people with COPD participate in eHealth studies.

CONCLUSIONS

The current body of literature related to eHealth interventions has a strong tendency toward managing the physical aspect of COPD self-management. The necessity to specify inclusion criteria to control variables, combined with the practical challenges of recruiting diverse participants, leads to people with COPD being included in eHealth studies that only represent a subgroup of the whole population. Therefore, future research should be aware of this unintentional blind spot, make efforts to reach the underrepresented population, and address multiple dimensions of the positive health paradigm.

Telehealth and telemedicine in the management of adult patients after hospitalization for COPD exacerbation: a scoping review

OBJECTIVE

A substantial number of people with COPD suffer from exacerbations, which are defined as an acute worsening of respiratory symptoms. To minimize exacerbations, telehealth has emerged as an alternative to improve clinical management, access to health care, and support for self-management. Our objective was to map the evidence of telehealth/telemedicine for the monitoring of adult COPD patients after hospitalization due to an exacerbation.

METHODS

Bibliographic search was carried in PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, Scopus, Biblioteca Virtual de Saúde/LILACS and Cochrane Library databases to identify articles describing telehealth and telemonitoring strategies in Portuguese, English, or Spanish published by December of 2021.

RESULTS

Thirty-nine articles, using the following concepts (number of articles), were included in this review: telehealth (21); telemonitoring (20); telemedicine (17); teleconsultation (5); teleassistance (4); telehomecare and telerehabilitation (3 each); telecommunication and mobile health (2 each); and e-health management, e-coach, telehome, telehealth care and televideo consultation (1 each). All these concepts describe strategies which use telephone and/or video calls for coaching, data monitoring, and health education leading to self-management or self-care, focusing on providing remote integrated home care with or without telemetry devices.

CONCLUSIONS

This review demonstrated that telehealth/telemedicine in combination with telemonitoring can be an interesting strategy to benefit COPD patients after discharge from hospitalization for an exacerbation, by improving their quality of life and reducing re-hospitalizations, admissions to emergency services, hospital length of stay, and health care costs.

Effects of post-discharge telemonitoring on 30-day chronic obstructive pulmonary disease readmissions and mortality

INTRODUCTION

Much attention has been focused on decreasing chronic obstructive pulmonary disease (COPD) hospital readmissions. The US health system has struggled to meet this goal. The objective of this study was to assess the efficacy of telehealth services on the reduction of hospital readmission and mortality rates for COPD.

METHODS

We used a cross-sectional design to examine the association between hospital risk-adjusted readmission and mortality rates for COPD and hospital use of post-discharge telemonitoring (TM). Data for 777 hospitals were sourced from the Centers for Medicare & Medicaid Services and the American Hospital Association annual surveys. Propensity score matching using the kennel weights method was applied to calculate the weighted probability of being a hospital that offers post-discharge TM services.

RESULTS

Hospitals with post-discharge TM had about 34% significantly higher odds (adjusted odds ratio (AOR) = 1.34; 95% confidence interval (CI) 1.06-1.70) of 30-day COPD readmission and 33% significantly lower odds (AOR = 0.67; 95% CI 0.50-0.90) of 30-day COPD mortality compared to hospitals without post-discharge TM services.

DISCUSSION

Overall, hospitals that offer post-discharge TM services have seen an improvement in 30-day COPD mortality rates. However, those same hospitals have also experienced a significant increase in 30-day COPD readmissions. TM can potentially decrease mortality in patients recently admitted for acute exacerbation of COPD. The results provide further evidence that readmissions present a problematic assessment of health-care quality, as the need for readmission may or may not be directly related to the quality of care received while in hospital.

Re-admission and quality of life among patients with chronic obstructive pulmonary disease after telemedicine video nursing consultation - a randomized study

Background

Our previous study showed a reduced cumulative length of re-admission stays due to chronic obstructive pulmonary disease (COPD) exacerbations during one year after telemedicine video consultation (TVC). The current study evaluated the effects of TVC on the length of re-admission stays within 12 months follow up post-TVC compared to phone call follow up or COPD usual care in a randomized study. Our secondary aim was to assess the impact of TVC on the frequency of re-admissions within 12 months of follow up. Patient satisfaction, hospital anxiety and depression scale (HADS) and COPD assessment test (CAT) scores were also evaluated.

Methods

The study was a prospective randomized study of COPD patients who after hospital discharge for acute COPD exacerbations, were randomized to monitoring by TVC at home compared to phone call follow up for two weeks by a specialist nurse at the hospital or usual COPD care. Prospectively, we compared the cumulative durations and frequencies of hospital re-admissions due to COPD exacerbations within 12 months follow up after TVC, phone call follow up or usual COPD care.

Results

Among 173 COPD patients followed for 12 months, 99 were re-admitted. The median cumulative length of readmission stays per patient within 12 months post-TVC did not differ from those followed by phone calls or with usual COPD care. The number of patients re-admitted and the number of re-admissions due to COPD exacerbations were also equal in the three groups. Patient satisfaction was high among those followed by TVC and phone calls, and the HADS and CAT scores favorably declined from baseline to post-intervention in patients followed by TVC and phone calls.

Conclusions

The study could not demonstrate a beneficial effect of TVC on the cumulative length of re-admission stays or on the number of re-admissions within 12 months following an acute COPD hospital stay, as compared to those followed by phone calls or with usual COPD care. Patient satisfaction was high among those followed by TVC and phone calls, and the declines in HADS and CAT scores seem to be consequences of increased empowerment and competence for good self-care in COPD patients, remaining through the one-year observation period.

Predictive performance and impact of algorithms in remote monitoring of chronic conditions: A systematic review and meta-analysis

BACKGROUND

The use of telehealth interventions, such as the remote monitoring of patient clinical data (e.g. blood pressure, blood glucose, heart rate, medication use), has been proposed as a strategy to better manage chronic conditions and to reduce the impact on patients and healthcare systems. The use of algorithms for data acquisition, analysis, transmission, communication and visualisation are now common in remote patient monitoring. However, their use and impact on chronic disease management has not been systematically investigated.

OBJECTIVES

To investigate the use, impact, and performance of remote monitoring algorithms across various types of chronic conditions.

METHODS

A literature search of MEDLINE complete, CINHAL complete, and EMBASE was performed using search terms relating to the concepts of remote monitoring, chronic conditions, and data processing algorithms. Comparable outcomes from studies describing the impact on process measures and clinical and patient-reported outcomes were pooled for a summary effect and meta-analyses. A comparison of studies reporting the predictive performance of algorithms was also conducted using the Youden Index.

RESULTS

A total of 89 articles were included in the review. There was no evidence of a positive impact on healthcare utilisation [OR 1.09 (0.90 to 1.31); P = .35] and mortality [OR 0.83 (0.63 to 1.10); P = .208], but there was a positive effect on generic health status [SDM 0.2912 (0.06 to 0.51); P = .010] and diabetes control [SDM -0.53 (-0.74 to -0.33); P < .001; I² = 15.71] (with two of the three diabetes studies being identified as having a high risk of bias). While the majority of impact studies made use of heuristic threshold-based algorithms (n = 27,87%), most performance studies (n = 36, 62%) analysed non-sequential machine learning methods. There was considerable variance in the quality, sample size and performance amongst these studies. Overall, algorithms involved in diagnosis (n = 22, 47%) had superior performance to those involved in predicting a future event (n = 25, 53%). Detection of arrythmia and ischaemia utilising ECG data showed particularly promising results.

CONCLUSION

The performance of data processing algorithms for the diagnosis of a current condition, particularly those related to the detection of arrythmia and ischaemia, is promising. However, there appears to exist minimal testing in experimental studies, with only two included impact studies citing a performance study as support for the intervention algorithm used. Because of the disconnect between performance and impact studies, there is currently limited evidence of the effect of integrating advanced inference algorithms in remote monitoring interventions. If the field of remote patient monitoring is to progress, future impact studies should address this disconnect by evaluating high performance validated algorithms in robust clinical trials.

Revealing the Nature of Chronic Obstructive Pulmonary Disease Using Self-tracking and Analysis of Contact Patterns: Longitudinal Study

Background

Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death and is characterized by a progressive loss of pulmonary function over time with intermittent episodes of exacerbations. Rapid and proactive interventions may reduce the burden of the condition for the patients. Telehealth solutions involving self-tracking of vital parameters such as pulmonary function, oxygen saturation, heart rate, and temperature with synchronous communication of health data may become a powerful solution as they enable health care professionals to react with a proactive and adequate response. We have taken this idea to the next level in the Epital Care Model and organized a person-centered technology-assisted ecosystem to provide health services to COPD patients.

Objective

The objective is to reveal the nature of COPD by combining technology with a person-centered design aimed to benefit from interactions based on patient-reported outcome data and to assess the needed kind of contacts to best treat exacerbations. We wanted to know the following: (1) What are the incidences of mild, moderate, and severe exacerbations in a mixed population of COPD patients? (2) What are the courses of mild, moderate, and severe exacerbations? And (3) How is the activity and pattern of contacts with health professionals related to the participant conditions?

Methods

Participants were recruited by convenience sampling from November 2013 to December 2015. The participants’ sex, age, forced expiratory volume during the first second, pulse rate, and oxygen saturation were registered at entry. During the study, we registered number of days, number of exacerbations, and number of contact notes coded into care and treatment notes. Each participant was classified according to GOLD I-IV and risk factor group A-D. Participants reported their clinical status using a tablet by answering 4 questions and sending 3 semiautomated measurements.

Results

Of the 87 participants, 11 were in risk factor group A, 24 in B, 13 in C, and 39 in D. The number of observed days was 31,801 days with 12,470 measurements, 1397 care notes, and 1704 treatment notes. A total of 254 exacerbations were treated and only 18 caused hospitalization. Those in risk factor group D had the highest number of hospitalizations (16), exacerbations (151), and contacts (1910). The initial contacts during the first month declined within 3 months to one-third for care contacts and one-half for treatment contacts and reached a plateau after 4 months.

Conclusions

The majority of COPD patients in risk factor group D can be managed virtually, and only 13% of those with severe exacerbations required hospitalization. Contact to the health care professionals decreases markedly within the first months after enrollment. These results provide a new and detailed insight into the course of COPD. We propose a resilience index for virtual clinical management making it easier to compare results across settings.

eHealth Program to Reduce Hospitalizations Due to Acute Exacerbation of Chronic Obstructive Pulmonary Disease: Retrospective Study

BACKGROUND

Hospitalization for acute exacerbation of chronic obstructive pulmonary disease (COPD) is associated with poor prognosis. eHealth interventions might improve outcomes and decrease costs.

OBJECTIVE

This study aimed to evaluate the effect of an eHealth program on COPD hospitalizations and exacerbations.

METHODS

This was a real-world study conducted from April 2018 to December 2019 in the Bravis Hospital, the Netherlands. An eHealth program (EmmaCOPD) was offered to COPD patients at risk of exacerbations. EmmaCOPD consisted of an app that used questionnaires (to monitor symptoms) and a step counter (to monitor the number of steps) to detect exacerbations. Patients and their buddies received feedback when their symptoms worsened or the number of steps declined. Generalized estimating equations were used to compare the number of days admitted to the hospital and the total number of exacerbations 12 months before and (max) 18 months after the start of EmmaCOPD. We additionally adjusted for the potential confounders of age, sex, COPD severity, and inhaled corticosteroid use.

RESULTS

The 29 included patients had a mean forced expiratory volume in 1 second of 45.5 (SD 17.7) %predicted. In the year before the intervention, the median total number of exacerbations was 2.0 (IQR 2.0-3.0). The median number of hospitalized days was 8.0 days (IQR 6.0-16.5 days). Afterwards, there was a median 1.0 (IQR 0.0-2.0) exacerbation and 2.0 days (IQR 0.0-4.0 days) of hospitalization. After initiation of EmmaCOPD, both the number of hospitalized days and total number of exacerbations decreased significantly (incidence rate ratio 0.209, 95% CI 0.116-0.382; incidence rate ratio 0.310, 95% CI 0.219-0.438). Adjustment for confounders did not affect the results.

CONCLUSIONS

The eHealth program seems to reduce the number of total exacerbations and number of days of hospitalization due to exacerbations of COPD.

A pilot study of daily telemonitoring to predict acute exacerbation in chronic obstructive pulmonary disease

BACKGROUND

Exacerbations of COPD (ECOPD) are important events in the course of COPD and they accelerate the rate of decline of lung function, and exacerbations requiring hospitalization are associated with significant mortality. Therefore, developing approaches of prevention and early treatment of ECOPDs are of special clinical interests. One of such approaches is telecare, including home telemonitoring.

MATERIAL AND METHODS

Daily telemonitoring of HR, BP, SpO₂ and spirometry was performed. Variables were compared using the bootstrap-boosted inference tests: the paired t-test or Wilcoxon signed rank test, depending on data normality, and categorical variables were compared using exact McNemar's test.

RESULTS

Nineteen patients were included to the study. We observed significant decrease in SpO₂ 7 days preceding ECOPD (P = 0.007; Pbootstrap-boosted = 0.005) and increase in number of events of day-to-day decrease in oxygen saturation >4% in the period of 7 days preceding ECOPD versus reference period (P = 0.02).

CONCLUSIONS

Oxygen saturation telemonitoring would be successfully used in predicting ECOPD. Recording of day-to-day decrease in oxygen saturation >4% as alarming events would be effective approach which would be easily implemented in telemonitoring devices, however this outcome should be further validated in larger size samples.